Marketing Optimization

Marketing Optimization An Experian white paper Table of contents Executive summary .....................................................................................................................................2 Background - the marketing challenge ...................................................................................................4 The traditional approach - data driven marketing .................................................................................5 The next step - marketing optimization .................................................................................................10 What is marketing optimization? ............................................................................................................11 Marketing optimization applications .....................................................................................................15 How optimization improves traditional marketing approachs ..........................................................21 Optimization solutions from Experian ...................................................................................................22 About Experian Decision Analytics ........................................................................................................24 An Experian white paper | Page 1 Executive summary For your organization to thrive it is important to make the most of each customer interaction and maximize customer value. In a world where there are thousands or millions of customers, multiple touch points and many potential actions or offers, how can you ensure that your decisions will maximize sales and revenues whilst meeting your budget and customer contact policies? Marketers make significant investments to acquire new customers and promote products and services to existing customers to increase or maintain market share, product usage and profitability. Even though organizations execute hundreds of campaigns a year, there is always a limit on how many activities can be undertaken and how many their customers are willing to tolerate. With ever more tightly controlled budgets and fewer resources, marketers are under pressure to demonstrate continued contribution to the performance of the overall business, executing only those activities that will produce the best return. The ability to improve customer value by effectively marketing personalized products and services is increasingly important in the search for a competitive advantage. Marketing departments are increasingly using analytics to understand and predict customer behavior, needs and preferences. This allows them to move from bulk marketing campaigns towards smaller and more frequent highly targeted campaigns through a wide variety of customer contact channels. However, the increase in channels and number of different offers in the market means that it is even more challenging for the marketer to pick the best action for each customer from the universe of offers, channels, compliance and contact policies. Consequently, organizations need a more effective way of selecting the best customer actions to achieve the desired results. The solution to this issue is an optimization process that enables marketers to choose the best set of customer actions that maximizes the campaign’s overall economic return, taking into consideration customer behavior and expected value, whilst satisfying real-world constraints such as product targets, channel volume limitations, fixed budgets and customer contact policies. Experian offers the advanced Marketswitch® Optimization solution that is designed for easy use by marketers who want to create optimal campaigns and contact policies. It allows them to evaluate multiple, optimized scenarios and to view reports to understand the impact of different contact rules and volume targets, before committing resources and budgets. No expertise in advanced mathematics is required; just knowledge of the company’s marketing strategies, plans and campaign economics. Page 2 | Marketing Optimization Marketswitch Optimization from Experian can be integrated with most of the leading customer analytics and intelligence solutions. It can be deployed as a stand-alone application or integrated with most third-party campaign management systems, customer databases and modeling tools. There are over 20 world-class organizations in North America and Europe that are benefiting from Marketswitch Optimization, typically seeing improvements in their marketing returns of between 10% and 30% or more. Its flexible, user-definable approach, supported by Experian consulting, analytics and data can deliver significant benefits for campaign selection, customer and segment marketing, next best action across multiple touch points and customer level contact planning and forecasting. An Experian white paper | Page 3 Background - the marketing challenge In principle, marketing is simple: get the right product with the right message in the right place at the right time at the right price in front of the right person. But in practice it is not easy: thousands or millions of customers, multiple products, many channels, regulatory complications, dispersed geography, conflicting objectives, limited resources, intensifying competition and you still have to demonstrate real and growing contribution to the performance of the overall business. With this pressure and the scale of the marketing environment, finding the most effective and profitable ‘customer-offer-channel’ mix can be almost impossibly complex. For example, with just three potential offers per customer and eight potential contact opportunities per customer, there are twenty-four possible combinations. When this is applied to a million customers and twenty possible offers, this scales to 220 million potential options. A huge number of potential opportunities need to be evaluated to find the single best contact per customer. Even though some potential contacts can be ruled out because they break a business constraint or rule, the challenge is still huge. Figure 1: The complexity of marketing decisions creates a huge challenge Page 4 | Marketing Optimization The traditional approach - data driven marketing Organizations have made huge investments to capture, store and mine large quantities of customer data in an effort to get closer to individual customer’s needs and preferences. Phone Face to face Mail Web Data warehousing Analytics Planning Execution Channels • Data accumulation • Unified analytical • Campaign/offer • Customer • Interaction • Data management customer view design management systems management • Single customer view • Profiling • Contact policies • Campaign execution • Sales • Segmentation • Targeting and • Account management • Service • Modeling selection • Service systems • Utilization and • Scoring • Inclusions/exclusions • Sales systems performance • Net present values • Scheduling • Triggers management • Campaign Feedback measurement Figure 2: The typical components of a Customer Relationship Management (CRM) strategy The typical components of a CRM strategy: • Data warehousing - a key enabler providing one definition of a ‘customer’, a unified customer view across all accounts, an unambiguous information base ready for analysis. • Analytics - providing reporting, segmentation and predictive model analysis tools to mine customer demographic and behavioral data to identify needs, preferences and the potential likelihood and value of customer response. • Campaign planning and execution - managing and automating the tasks of planning and executing campaigns and triggered activities through the contact channels and measuring results. • Channel management systems - managing and tracking the sales and service interactions with customers through the channels. An Experian white paper | Page 5 These systems provide a high level of detailed information with which marketers can plan, execute and track their marketing activities. These tools have added significant value in driving marketing efficiency and enabling more marketing activity. Many organizations have now reached data-saturation, with an abundance of powerful information, but many still have no effective means of picking the best action for each customer across competing offers, channels, compliance and contact policies. Most selection techniques, no matter how sophisticated, still rely on little more than guesswork to determine how best to target customers to get the most return. These techniques have evolved over time: • Campaign managers decide who to target - using business rules and customer profiles, campaign managers use experience and trial and error to select targets. • Campaign managers decide which deciles to target - rank ordering customers based on a single dimension such as response, applying a subjective cut-off level. • Campaign managers prioritize trade-offs, playing with cut-offs to fit business goals and constraints - using prioritized rules and matrices of two or three score dimensions to subjectively determine trade-offs. Most selection techniques involve rules that evaluate only one offer or one customer at a time. In practice, most customers could be considered for more than one offers, so the order in which the rules are applied can give radically different results. Comparing different approaches Consider this simple example: An organization has four customers and one channel for a marketing campaign. Only one offer can be sent to each customer. Customers have been scored for their response

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